The retrieval engine that makes your AI Intelligent.

The retrieval engine that makes your AI Intelligent.

The retrieval engine that makes your AI Intelligent.

Cortex is the vector database for AI-native workflows. Extremely powerful search, server ingestion for scale, built-in memory for agents, a unified platform for your AI.

COMPARISON

Why Choose Cortex

Why Choose Cortex

Cortex handles what most platforms don’t — and it shows:

Cortex handles what most platforms don’t — and it shows:

Hybrid search (vector + metadata + keyword) out-of-the-box

Ingestion engine with native parsing, chunking, and processing built-in

Low-latency search even at scale (p50 < 50ms, p95 < 200ms)

Built-in memory that self-improves with usage

Embedding pipelines that auto scale to petabytes of data

AI-generated answers with 20+ configurations (like stream, language models, recency_bias, multi_step_reasoning)

VectorDBs

Traditional VectorDBs

Unable to retrieve metadata context

Bring-your-own-parsers mess—manually monitor every change in structure or format

High latencies—often >1s at p50 under real-world workloads

No memory or personalization

Manual, brittle embedding pipelines that break at scale

No support or control over generation behavior, reasoning steps, or context injection

Goodbye complexity, hello Cortex

An adaptive retrieval layer that provides personalization with every user query, delivers accurate results, and makes your AI app memorable.

HELLO CORTEX

Give LLM apps the memory and retrieval they deserve

One Platform. Zero wasted days tuning vector DBs, encoders, thresholds, weights, embedding fallbacks, evals or graphs. Just context-aware intelligence that actually works out of the box.

from cortex import CortexClient

cortex = CortexClient(api_key="your-key")

# 1. SEARCH: Search across all sources
results = cortex.search("latest partnership details with Umbrella Corp")
# → ["Found recent documents discussing the Umbrella Corp deal...", ...]

# 2. QnA: Ask contextual questions
answer = cortex.answer("What are the terms of the partnership?")
# → "The Umbrella Corp partnership includes a joint GTM plan and 12-month exclusivity in biotech integrations."

# 3. STORE: Add new knowledge to the system
cortex.store(
    user_id="tenant1",
    document_title="Umbrella Partnership Summary",
    content="Joint GTM strategy, 12-month exclusivity, and integration support included."
)

# 4. REMEMBER: Store personalized memory
cortex.remember(
    user_id="tenant1",
    content="I’m meeting Umbrella Corp next Thursday to finalize integration timelines."
)

# LATER: Ask anything and get memory-aware answers
response = cortex.answer("Remind me what I need to finalize in the Umbrella meeting?")

# → "You're meeting Umbrella Corp next Thursday to finalize integration timelines."
# → "They expect joint GTM rollout by Q4. You’ve stored details about exclusivity and support."
from cortex import CortexClient

cortex = CortexClient(api_key="your-key")

# 1. SEARCH: Search across all sources
results = cortex.search("latest partnership details with Umbrella Corp")
# → ["Found recent documents discussing the Umbrella Corp deal...", ...]

# 2. QnA: Ask contextual questions
answer = cortex.answer("What are the terms of the partnership?")
# → "The Umbrella Corp partnership includes a joint GTM plan and 12-month exclusivity in biotech integrations."

# 3. STORE: Add new knowledge to the system
cortex.store(
    user_id="tenant1",
    document_title="Umbrella Partnership Summary",
    content="Joint GTM strategy, 12-month exclusivity, and integration support included."
)

# 4. REMEMBER: Store personalized memory
cortex.remember(
    user_id="tenant1",
    content="I’m meeting Umbrella Corp next Thursday to finalize integration timelines."
)

# LATER: Ask anything and get memory-aware answers
response = cortex.answer("Remind me what I need to finalize in the Umbrella meeting?")

# → "You're meeting Umbrella Corp next Thursday to finalize integration timelines."
# → "They expect joint GTM rollout by Q4. You’ve stored details about exclusivity and support."

FEATURES

All features in one place

Everything you need to automate operations, boost productivity

Search for AI agents

Blazing fast vector, full-text, and metadata search. Search that scales reliably to millions of queries

Search for AI agents

Blazing fast vector, full-text, and metadata search. Search that scales reliably to millions of queries

Search for AI agents

Blazing fast vector, full-text, and metadata search. Search that scales reliably to millions of queries

AI Assistant

ChatGPT-level UX for AI answers —integrated into your app in seconds with prebuilt, customizable assistants

AI Assistant

ChatGPT-level UX for AI answers —integrated into your app in seconds with prebuilt, customizable assistants

AI Assistant

ChatGPT-level UX for AI answers —integrated into your app in seconds with prebuilt, customizable assistants

Customise anything

Choose from tens of pre-built configurations. Build tailored AI systems that align with your business goals and challenges

Customise anything

Choose from tens of pre-built configurations. Build tailored AI systems that align with your business goals and challenges

Customise anything

Choose from tens of pre-built configurations. Build tailored AI systems that align with your business goals and challenges

Performance with scale

Serve millions of queries with low-latency, memory-aware retrieval that learns over time

Performance with scale

Serve millions of queries with low-latency, memory-aware retrieval that learns over time

Performance with scale

Serve millions of queries with low-latency, memory-aware retrieval that learns over time

Embeddings & parsing out of the box

Run high-throughput embedding pipelines that scale to massive datasets without breaking

Embeddings & parsing out of the box

Run high-throughput embedding pipelines that scale to massive datasets without breaking

Embeddings & parsing out of the box

Run high-throughput embedding pipelines that scale to massive datasets without breaking

Works with Any Data

Ingest files, JSONs, app like Gmail, Notion, etc all in one place

Works with Any Data

Ingest files, JSONs, app like Gmail, Notion, etc all in one place

Works with Any Data

Ingest files, JSONs, app like Gmail, Notion, etc all in one place

Security

Enterprise Grade Compliance

SOC 2 compliant, self-hostable, and built for enterprise. Stay in control of your data.

Cortex is built with privacy at its core. As a SOC 2 certified platform, our entire architecture and codebase can be audited at any time, making us one of the most transparent and secure options available, almost like open-sourcing our security.

PRICING

Flexible Plans for Every AI

Flexible Plans for Every AI

From idea to enterprise. Cortex is built to support every part of your journey.

From idea to enterprise. Cortex is built to support every part of your journey.

Monthly

Yearly

Save 20%

Starter

$750

/month

Built-in serverless hybrid search (vector + keyword)

10M tokens of ingestion + storage / month

Upto 10 Databases

50,000 monthly active users

Slack Support

Pro

$5000

/month

100M tokens of ingestion + storage / month

Unlimited Databases & MAUs

SOC 2

Early access to new features and models

Priority Support

Enterprise

Custom

Everything in Pro, plus:

Dedicated AI Strategist

API & Private Integrations

On Premises deployment

Custom SLA

Complete control of your data

Monthly

Yearly

Save 20%

Starter

$750

/month

Built-in serverless hybrid search (vector + keyword)

10M tokens of ingestion + storage / month

Upto 10 Databases

50,000 monthly active users

Slack Support

Pro

$5000

/month

100M tokens of ingestion + storage / month

Unlimited Databases & MAUs

SOC 2

Early access to new features and models

Priority Support

Enterprise

Custom

Everything in Pro, plus:

Dedicated AI Strategist

API & Private Integrations

On Premises deployment

Custom SLA

Complete control of your data

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Get in touch - hello@usecortex.ai

What is Cortex and how is it different from a traditional vector database?

Cortex is more than a vector DB — it’s the complete retrieval layer for AI-native apps. It handles ingestion, parsing, chunking, embedding, hybrid search (vector + keyword + metadata), memory, and grounding — all out-of-the-box. No need to stitch together 20 tools to get reliable retrieval.

Can I bring any data and connect multiple sources?

Yes. Cortex supports ingestion from files (PDFs, HTML, etc.), APIs, databases, Notion, Slack, and more. Just connect your source — Cortex automatically applies the best parsing and embedding strategy for your data type, then handles chunking, syncing, and storage end-to-end.

How customizable is the AI-generated output?

Highly customizable. Our API supports 20+ parameters like search_modes, recency_bias, multi_step_reasoning, highlight_chunks, user_instructions, and more — giving you full control over how answers are retrieved and generated.

What does performance look like at scale?

Cortex is built for low-latency, high-scale workloads. You get <50ms p50 and <200ms p95 response times, even with large datasets and multi-modal retrieval. No babysitting infrastructure required.

Why does Cortex support memory and personalization?

Because great AI isn’t one-size-fits-all. Cortex builds memory into the retrieval layer so your agents and apps can adapt to users over time — remembering past interactions, surfacing relevant context, and tailoring responses based on behavior or metadata. Personalization isn’t an add-on — it’s core to making AI actually useful.

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Get in touch - hello@usecortex.ai

What is Cortex and how is it different from a traditional vector database?

Cortex is more than a vector DB — it’s the complete retrieval layer for AI-native apps. It handles ingestion, parsing, chunking, embedding, hybrid search (vector + keyword + metadata), memory, and grounding — all out-of-the-box. No need to stitch together 20 tools to get reliable retrieval.

Can I bring any data and connect multiple sources?

Yes. Cortex supports ingestion from files (PDFs, HTML, etc.), APIs, databases, Notion, Slack, and more. Just connect your source — Cortex automatically applies the best parsing and embedding strategy for your data type, then handles chunking, syncing, and storage end-to-end.

How customizable is the AI-generated output?

Highly customizable. Our API supports 20+ parameters like search_modes, recency_bias, multi_step_reasoning, highlight_chunks, user_instructions, and more — giving you full control over how answers are retrieved and generated.

What does performance look like at scale?

Cortex is built for low-latency, high-scale workloads. You get <50ms p50 and <200ms p95 response times, even with large datasets and multi-modal retrieval. No babysitting infrastructure required.

Why does Cortex support memory and personalization?

Because great AI isn’t one-size-fits-all. Cortex builds memory into the retrieval layer so your agents and apps can adapt to users over time — remembering past interactions, surfacing relevant context, and tailoring responses based on behavior or metadata. Personalization isn’t an add-on — it’s core to making AI actually useful.

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Get in touch - hello@usecortex.ai

What is Cortex and how is it different from a traditional vector database?

Can I bring any data and connect multiple sources?

How customizable is the AI-generated output?

What does performance look like at scale?

Why does Cortex support memory and personalization?

The Supabase for AI Retrievals

Ready to give your agents superpowers?

Schedule a call and get started in record time

The Supabase for AI Retrievals

Ready to give your agents superpowers?

Schedule a call and get started in record time

The Supabase for AI Retrievals

Ready to give your agents superpowers?

Schedule a call and get started in record time